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Dempster's rule of combination is a core part in evidence theory. However, it may generate an unreasonable result when fusing conflicting evidences. For the sake of dealing with such a problem, a novel discounting method is proposed. Minimum singular value of BPA (basic probability assignment) matrix consisting of two BPAs corresponding to two evidences can measure the dissimilarity between these...
In order to achieve the important tactical requirement of low probability of intercept (LPI) in the radar network, dynamically controlling the emission of the radars is very necessary. Firstly, a data fusion method based on an interacting multiple model and information filtering (IMM-IF) algorithm is presented. Then, the influence of the emitted power is considered in the tracking performance of the...
Breast cancer is one of the leading causes of death in women worldwide. Therefore, ultrasound examination has become an important method of detecting breast tumors. However, given the special features of ultrasonic imaging, lesion segmentation is a challenging task in computer-aided diagnosis systems. In this study, we proposed a complex and automated approach to segment breast ultrasound images....
Mutual information has been widely used in image registration as an effective similarity measure. It has attracted a lot of attention to the effective use of the spatial information. Here we propose a new measure that includes the mean of the neighborhood region of each pixel as one variable of the two-dimension normal distribution assumed in our method. The experimental results show that our method...
This paper proposes the topological conjugacy classification of two-dimensional binary cellular automata (2D CA) with von Neumann neighborhood. By exploiting four fundamental homeomorphisms in two-dimensional symbolic sequence space, it actually partitions the global mappings, not only of the additive rules, but also of all rules, in the sense that different mappings in the same global equivalence...
The main purpose of this paper was to validate whether the method using features of ultrasonic radio frequency signal (URFS) is effective for non-invasive monitoring in microwave ablation. A total of 15 fresh in vitro porcine livers were experimented. Features of amplitude integral, energy, sum of absolute value of difference (SAD) integral, time-shift and attenuation coefficient of URFS were extracted...
3D shape reconstruction of the liver from its 2D cross-sections improves the surgeon's knowledge of liver anatomy and makes even more complicated liver surgery safe, which can be employed to aid clinical practice as an alternative tool. In this paper, a new method for 3D reconstruction of liver is proposed. It mainly consists of three steps: liver auto-segmentation, surface reconstruction and surface...
Fetal ECG Extraction has the vital significance for fetal monitoring. This paper introduced a method of extracting fetal ECG based on adaptive linear neural network. The method can be realized by training a small quantity of data. In addition, a better result can be achieved by improving neural network structure. Thus, more easily identified fetal ECG can be extracted. Experimental results show that...
Many studies have already demonstrated structural brain differences among different patient populations using the morphometric analysis techniques. Voxel-based morphometry (VBM) and deformation-based morphometry (DBM) are the two widely used methods. This paper mainly compared the difference of the two methods and analyzed the reason why many differences exist in the experimental results focused on...
The dynamical behaviors of elementary cellular automata rules are investigated from the viewpoint of symbolic dynamics in the space of bi-infinite symbolic sequences. It turns out the topologically conjugate equivalences between rules by applying blocking transformation and releasing transformation. Based on this result, the topological chaos of rule 22 is detailedly characterized; that is, rule 22...
Microwave ablation (MA) is popular as a minimally invasive, painless and effective oncological treatment. The paper presents an approach of characterizing the thermal coagulation during microwave ablation using B-mode ultrasound image textures and pattern recognition technique. During the MA treatment, the series of B-mode ultrasound images were obtained. Textures of different ROIs such as gray level...
Image segmentation is a focused issue in image processing. Especially, brain segmentation is a key problem in neuroscience. In this study, our aim is to segment the real MR image into gray matter, white matter and cerebrospinal fluid. Several methods were compared. However, traditional methods such as fuzzy c-means, mixture Gaussian model can't achieve a satisfied result successfully. Markov random...
Many studies have already demonstrated structural brain differences among different patient populations using the morphometric analysis techniques. Voxel-based morphometry (VBM) and deformation-based morphometry (DBM) are the two widely used methods. This paper mainly compared the difference of the two methods and analyzed the reason why many researches exist differences in the experimental results...
The pathological reason for schizophrenia is still unknown to date. Fortunately, deformation based morphometry (DBM) provides an important tool for the computational anatomy research. In this study we detected the changes of regional volume in brain structures between the first episode schizophrenia (FES) and normal controls with DBM method. Information of the difference is derived from the deformation...
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